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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 434
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    oai_token-act-pair · gpt-3.5-turbo

    references to computer processors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Territories
    -0.81
    shirt
    -0.74
    ership
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    enes
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     Guan
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    ewitness
    -0.68
     Eagle
    -0.67
    reek
    -0.67
    eem
    -0.66
    este
    -0.66
    POSITIVE LOGITS
    processor
    0.90
     powering
    0.88
    amac
    0.85
    otle
    0.83
    ando
    0.80
    omial
    0.78
    ulsion
    0.76
     processors
    0.73
     optimization
    0.71
    nesota
    0.71
    Activations Density 0.018%

    No Known Activations